Abstract
This paper describes an extraction method of characteristic facial expressions for monitoring system of elderly people. The past few years, the number of elderly people living alone has a tendency to increase, therefore various systems for an elderly monitoring or safety confirmation has been realizing and utilizing. In the field of robots, there are studies of the monitoring system using robots at an elderly home. In the future, many systems are considered to advance into markets. This proposed method is to extract several characteristic facial expression images from video image, to estimate their rough psychological state rather than to convey safety information of elderly people as conventional. Specifically, facial expression images are extracted by the index of the difference of features between criteria's face image and face images detected from each frame.
